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Optimized Routing of Power Transmission Lines Using Geospatial Information Systems (GIS) and Artificial Intelligence Algorithms RRT*: A Case Study of Masjed Soleyman County
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Fatemeh Ghazalizadeh   , Mostafa Kabolizadeh * , Seyed Sajedin Mousavi |
| Shahid Chamran University of Ahvaz, |
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Abstract: (10 Views) |
Optimal routing design for power transmission lines holds significant importance, primarily to reduce construction and maintenance costs while enhancing stability against natural hazards. Given its high density of earthquake occurrences, landslide potential, and the severity of land subsidence, Masjed Soleyman County is considered a high-risk area for establishing power transmission networks. In this research, a hybrid approach, leveraging the Geographic Information System (GIS) and the RRT* Artificial Intelligence algorithm, was developed for optimal route identification. A composite spatial layer, incorporating three key indicators—earthquake occurrence density, land subsidence severity, and landslide potential—was created for hazard assessment. These indicators were combined using equal weights to generate the final natural hazards layer. By overlaying the existing power transmission lines onto this layer, high-risk routes were identified. Specifically, Routes Zero and Seven were found to traverse over 80% of their total length within high-risk zones, thus necessitating their selection for re-routing using the RRT* algorithm. The results indicated that the routes proposed by the algorithm significantly avoided high-risk areas and presented a more uniform distribution of risk classes. For instance, the mean and standard deviation of the cost for the existing route (number zero) were 14497.07 and 12713.79 respectively, which were reduced to 6216.07 and 10536.65 in the new route. Similarly, for the existing route (number seven), these values decreased from 18124.51 and 14374.27 to 11538.23 and 12530.58. These findings demonstrate a reduction in the overall risk level and an increase in the stability of the new routes compared to the existing ones. In summary, the findings suggest that the combination of GIS and the RRT* algorithm is an effective tool for designing more sustainable and economical routes in areas with high natural hazards, offering a practical approach for power transmission network planning under similar conditions.
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| Keywords: RRT* Algorithm, Routing, Power Transmission Lines, Artificial Intelligence Algorithms. |
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Type of Study: Research |
Subject:
GIS
Received: 2025/05/25 | Accepted: 2026/02/17 | ePublished ahead of print: 2026/02/17
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